A powerful Twitter integration for AI agents that leverages the Model Context Protocol (MCP) standard, providing a comprehensive set of Twitter functionality through a clean and consistent interface.

This server provides access to Twitter's features through MCP tools, allowing seamless integration with AI assistants and other MCP-compatible clients. It's built on top of the agent-twitter-client library and provides robust error handling, rate limiting, and consistent response formatting.

• Get tweets from users with media support
• Fetch user profiles with detailed information
• Search tweets by hashtags or keywords
• Filter search results by latest/top
• Rate limiting (max 50 tweets per request)

• Like/Unlike tweets
• Retweet/Undo retweet
• Post tweets with:
  • Text content
  • Media attachments (images, videos)
  • Reply functionality
  • Quote tweet capability

• Get user relationships (followers/following)
• Fetch trending topics
• Access different timeline types:
  • Home timeline
  • Following timeline
  • User timeline
• List management (fetch list tweets)

• Media handling:
  • Image upload (JPEG, PNG, GIF)
  • Video upload (MP4)
  • Alt text support
• Thread creation
• Follow/Unfollow users

• get_tweets - Fetch recent tweets from a user
• get_profile - Get a user's profile information
• search_tweets - Search for tweets by hashtag or keyword

• like_tweet - Like or unlike a tweet
• retweet - Retweet or undo retweet
• post_tweet - Post a new tweet with optional media
• create_thread - Create a Twitter thread

• get_timeline - Get tweets from different timeline types
• get_list_tweets - Get tweets from a Twitter list
• get_trends - Get current trending topics

• get_user_relationships - Get followers or following list
• follow_user - Follow or unfollow a user

1. Install dependencies:

npm install

2. Build the server:

npm run build

3. Configure environment variables:

# Required: Twitter Account Credentials (for user authentication)
TWITTER_USERNAME=your_username
TWITTER_PASSWORD=your_password
TWITTER_EMAIL=your_email

# Twitter API Authentication (Optional)
TWITTER_API_KEY=your_api_key
TWITTER_API_SECRET_KEY=your_api_secret_key
TWITTER_ACCESS_TOKEN=your_access_token
TWITTER_ACCESS_TOKEN_SECRET=your_access_token_secret

4. Add the server config to your MCP client:

On MacOS:

~/Library/Application Support/Claude/claude_desktop_config.json

On Windows:

%APPDATA%/Claude/claude_desktop_config.json

Configuration:

{
  "mcpServers": {
    "twitter-mcp-server": {
      "command": "/path/to/twitter-mcp-server/build/index.js"
    }
  }
}

For development with auto-rebuild:

npm run watch

Since MCP servers communicate over stdio, you can use the MCP Inspector for debugging:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

The server implements comprehensive error handling:

• Input validation for all parameters
• Rate limiting protection
• Detailed error messages
• Proper error propagation
• Logging for debugging

All tools return responses in a consistent format:

{
  content: [{
    type: "text",
    text: string // JSON stringified response or error message
  }]
}

Contributions are welcome! Please feel free to submit a Pull Request.

MIT License - see LICENSE file for details